1 00:00:00,080 --> 00:00:02,680 Speaker 1: Welcome to Had the Money. I'm Joel and I and 2 00:00:02,800 --> 00:00:06,280 Speaker 1: Matt and today we're talking about robots ruining everything, a 3 00:00:06,360 --> 00:00:29,080 Speaker 1: new robin Hood feature, and Kim Kardashian's crypto kerfuffle. All 4 00:00:29,080 --> 00:00:31,400 Speaker 1: you needed to do is throw Kanye into that last 5 00:00:31,400 --> 00:00:33,720 Speaker 1: headline and you would have had a bunch of alliteration 6 00:00:33,760 --> 00:00:37,200 Speaker 1: and showing on. Uh. Now, this is our Friday flight 7 00:00:37,240 --> 00:00:39,440 Speaker 1: where every week we look at the headlines and we 8 00:00:39,479 --> 00:00:42,479 Speaker 1: talk about not how they influence our music, but how 9 00:00:42,520 --> 00:00:44,960 Speaker 1: they impact our finances. We're gonna talk about how it 10 00:00:45,040 --> 00:00:46,839 Speaker 1: impacts our money. By the way, I did try to 11 00:00:46,880 --> 00:00:49,680 Speaker 1: listen to the new Kanye album, partially because he recorded 12 00:00:49,680 --> 00:00:52,159 Speaker 1: it here in Atlanta. I got through the first few 13 00:00:52,159 --> 00:00:53,800 Speaker 1: tracks and then they weren't bad, but there were twenty 14 00:00:53,840 --> 00:00:55,600 Speaker 1: seven tracks. I'm like, Kanye, I don't have that kind 15 00:00:55,600 --> 00:00:59,120 Speaker 1: of time. I was seeing something how literally he had 16 00:00:59,200 --> 00:01:01,240 Speaker 1: changed the number of tracks they were on that album 17 00:01:01,360 --> 00:01:05,720 Speaker 1: because pulled one back. It's just like, wait, what is 18 00:01:05,760 --> 00:01:08,600 Speaker 1: going on here? And honestly, I think he's kind of 19 00:01:08,600 --> 00:01:10,640 Speaker 1: a genius marketer and and I think it's all in 20 00:01:10,760 --> 00:01:13,000 Speaker 1: an attempt to get people like us to talk about it. 21 00:01:13,080 --> 00:01:15,800 Speaker 1: And if so, he succeeded, and so with that in mind, 22 00:01:15,840 --> 00:01:18,479 Speaker 1: I'm not going to talk about it anymore. Instead, actually 23 00:01:18,480 --> 00:01:21,319 Speaker 1: I wanted to talk about I wanted to share that, dude, 24 00:01:21,360 --> 00:01:25,959 Speaker 1: I scored my Chase Sapphire Preferred points. I hit my 25 00:01:26,000 --> 00:01:28,480 Speaker 1: minimum spend, which is that's a hundred thousand points, right, 26 00:01:28,480 --> 00:01:30,679 Speaker 1: a hundred Yeah, so I saw my my total pointed 27 00:01:31,360 --> 00:01:35,679 Speaker 1: shoot over one hundred thousand, which is equivalent to over 28 00:01:36,760 --> 00:01:39,640 Speaker 1: fifty dollars. But here's the thing, so they were kind 29 00:01:39,640 --> 00:01:41,920 Speaker 1: of unclear in the language. You don't you can't actually 30 00:01:42,000 --> 00:01:45,520 Speaker 1: get a check for one d and fifty dollars statement 31 00:01:45,560 --> 00:01:48,000 Speaker 1: credit though, right, well, yeah, statement credit. But they don't 32 00:01:48,040 --> 00:01:50,000 Speaker 1: make it super easy like it used to be like 33 00:01:50,040 --> 00:01:51,760 Speaker 1: in the past, or were some other cards. You could 34 00:01:51,800 --> 00:01:54,600 Speaker 1: just apply that total balance to your statement. But the 35 00:01:54,640 --> 00:01:56,480 Speaker 1: way that they're doing it, you have to go through 36 00:01:56,520 --> 00:02:00,480 Speaker 1: and click different charges that you want to apply it too. 37 00:02:01,400 --> 00:02:03,440 Speaker 1: It's a little sneaky. It's it's kind of a hoop 38 00:02:03,480 --> 00:02:05,040 Speaker 1: that you have to jump through, still more than when 39 00:02:05,040 --> 00:02:07,480 Speaker 1: you're talking about getting Yeah, big of a benefit, but 40 00:02:07,560 --> 00:02:09,679 Speaker 1: that yeah, that's a sneaky way to approach it. Yeah, 41 00:02:09,800 --> 00:02:11,600 Speaker 1: I mean it took all of ninety seconds just to 42 00:02:11,680 --> 00:02:14,560 Speaker 1: run through a bunch of purchases, mostly being able to 43 00:02:14,600 --> 00:02:17,720 Speaker 1: apply it to like restaurants and um, grocery stores, that 44 00:02:17,800 --> 00:02:20,600 Speaker 1: kind of thing. That being said, you can actually received 45 00:02:20,720 --> 00:02:23,200 Speaker 1: just straight cash back, but it's the reduced amount. It's 46 00:02:23,240 --> 00:02:26,520 Speaker 1: only uh one dollars as opposed to that bonus two 47 00:02:26,960 --> 00:02:29,440 Speaker 1: fifty that you also get. So obviously I went for 48 00:02:29,440 --> 00:02:33,560 Speaker 1: that bonus. I got that. That that's all it takes. 49 00:02:33,760 --> 00:02:35,920 Speaker 1: Uh And so if you haven't checked out the Chase 50 00:02:35,960 --> 00:02:38,720 Speaker 1: Sapphire Preferred, I mean, it is a complete no brainer. 51 00:02:38,760 --> 00:02:40,760 Speaker 1: There has never been a credit card like this that 52 00:02:40,800 --> 00:02:44,000 Speaker 1: was offering such an incredible sign up bonus. If you 53 00:02:44,040 --> 00:02:46,919 Speaker 1: don't struggle with overspending when you get a fresh new 54 00:02:46,919 --> 00:02:49,799 Speaker 1: credit card like that, we would highly recommend you look 55 00:02:49,800 --> 00:02:51,560 Speaker 1: into this card. If it was just for like a 56 00:02:51,680 --> 00:02:54,280 Speaker 1: hundred bucks or twohundred bucks, this isn't something we would 57 00:02:54,280 --> 00:02:56,079 Speaker 1: be talking about. But the fact that it is over 58 00:02:56,160 --> 00:02:58,640 Speaker 1: one tho it's twelve fifty if you apply it to 59 00:02:58,639 --> 00:03:01,920 Speaker 1: actual purchases that you've made with that card, and that 60 00:03:02,040 --> 00:03:04,600 Speaker 1: is just some serious value that you can't ignore. For sure, 61 00:03:04,840 --> 00:03:07,040 Speaker 1: it's pretty solid. It's been around now for a minute. 62 00:03:07,080 --> 00:03:08,760 Speaker 1: We're not sure how long it's gonna allow us. Yeah, 63 00:03:08,919 --> 00:03:11,320 Speaker 1: it's definitely the richest sign up on us we've seen 64 00:03:11,560 --> 00:03:13,760 Speaker 1: for the card that we already kind of talked about 65 00:03:13,760 --> 00:03:16,119 Speaker 1: in like but Matt, let's keep moving on. Let's let's 66 00:03:16,120 --> 00:03:18,200 Speaker 1: get to the Friday flight. Let's talk about the stories 67 00:03:18,600 --> 00:03:20,880 Speaker 1: that happened this week and how they impact all of 68 00:03:20,880 --> 00:03:24,080 Speaker 1: our collected wallets. And you know, last week we actually 69 00:03:24,080 --> 00:03:27,000 Speaker 1: talked about you waiting to get the new iPhone. You know, 70 00:03:27,040 --> 00:03:28,760 Speaker 1: you you that's right. You wanted the new one to 71 00:03:28,800 --> 00:03:30,720 Speaker 1: be released so you can get the prior version, not 72 00:03:30,840 --> 00:03:32,760 Speaker 1: at a reduced price exactly, not to get that third team, 73 00:03:32,800 --> 00:03:35,920 Speaker 1: It's because I want a discount itself, exactly. And it 74 00:03:35,960 --> 00:03:39,200 Speaker 1: looks like that announcement is going down next week that 75 00:03:39,520 --> 00:03:42,160 Speaker 1: you might be buying a phone next week. Man. But yeah, 76 00:03:42,320 --> 00:03:44,760 Speaker 1: that is great news for everybody who wants to pay 77 00:03:44,880 --> 00:03:48,720 Speaker 1: less for a new but not very new model phone. 78 00:03:49,080 --> 00:03:51,840 Speaker 1: And there was actually a study done this week by 79 00:03:51,840 --> 00:03:55,760 Speaker 1: wallet hub about iPhone upgrade habits that had some revealing information. 80 00:03:55,960 --> 00:03:58,560 Speaker 1: They found that one in three people plan on getting 81 00:03:58,560 --> 00:04:01,400 Speaker 1: the new iPhone this year, and that one in five. 82 00:04:01,760 --> 00:04:03,400 Speaker 1: It's a lot, there's a lot of people. And then 83 00:04:03,440 --> 00:04:06,560 Speaker 1: one in five think that it's worth going into debt for. 84 00:04:07,080 --> 00:04:09,400 Speaker 1: And that was also a lot of people, more than 85 00:04:09,400 --> 00:04:12,040 Speaker 1: I would like to hear. Yeah, exactly, Like I feel like, 86 00:04:12,320 --> 00:04:13,920 Speaker 1: can we just say right now on how the money? 87 00:04:14,000 --> 00:04:16,960 Speaker 1: But it's a hard no going in debt to get 88 00:04:17,000 --> 00:04:20,320 Speaker 1: a new device. There are especially if you're like man 89 00:04:20,400 --> 00:04:23,159 Speaker 1: going gung ho and getting the nicest device, But really, 90 00:04:23,160 --> 00:04:25,520 Speaker 1: no matter which way you slice it, going into debt 91 00:04:25,600 --> 00:04:28,400 Speaker 1: to buy a new electronics item, it's just a no no. 92 00:04:28,600 --> 00:04:31,960 Speaker 1: We would never ever suggest anyone do it for really 93 00:04:32,160 --> 00:04:34,880 Speaker 1: any reason. Absolutely. I mean honestly, I don't think taking 94 00:04:35,080 --> 00:04:37,920 Speaker 1: on debt for anything that is going to depreciate is 95 00:04:37,960 --> 00:04:40,760 Speaker 1: ever a good idea. Right investments only, that's when you 96 00:04:40,800 --> 00:04:43,160 Speaker 1: can use leverage to your advantage, dude. One of the 97 00:04:43,320 --> 00:04:46,400 Speaker 1: stats I found most revealing is that of people in 98 00:04:46,440 --> 00:04:50,040 Speaker 1: the survey on wallet hub, they say that they're judging 99 00:04:50,040 --> 00:04:51,919 Speaker 1: you basically if you don't have the latest version of 100 00:04:51,920 --> 00:04:55,320 Speaker 1: the iPhone. They believe that not having the newest and 101 00:04:55,360 --> 00:04:59,760 Speaker 1: hottest phone is a sign that you are actually struggling financially. 102 00:05:00,000 --> 00:05:02,479 Speaker 1: I know those iPhone people are judging us Android people anyway, 103 00:05:02,560 --> 00:05:04,320 Speaker 1: so I'm used to it. But what about the Yeah, 104 00:05:04,360 --> 00:05:06,240 Speaker 1: I mean, if they're judging people who don't have the 105 00:05:06,279 --> 00:05:08,520 Speaker 1: latest phone, I can't imagine how many people are actually 106 00:05:08,600 --> 00:05:11,880 Speaker 1: judging me with the piece that I've been carrying around 107 00:05:11,880 --> 00:05:14,200 Speaker 1: for so long. But really, man, this they've got it backwards. 108 00:05:14,279 --> 00:05:16,719 Speaker 1: This all goes back to the millionaire next door. The 109 00:05:16,720 --> 00:05:19,839 Speaker 1: folks who are actually building wealth are the ones who 110 00:05:19,880 --> 00:05:22,640 Speaker 1: have money in the bank, money in their retirement accounts. Uh. 111 00:05:22,680 --> 00:05:24,760 Speaker 1: They're the ones who are saving and investing their money, 112 00:05:24,760 --> 00:05:28,280 Speaker 1: not constantly upgrading their gadgets and uh buying things to 113 00:05:28,440 --> 00:05:31,280 Speaker 1: display to signal to others that they've got their finances 114 00:05:31,279 --> 00:05:33,880 Speaker 1: that they've got their money together. That's true. Yeah, the 115 00:05:33,960 --> 00:05:36,240 Speaker 1: more you're doing that, the less money you actually have. 116 00:05:36,640 --> 00:05:39,280 Speaker 1: And so it looks like to other people you've got money, 117 00:05:39,279 --> 00:05:41,599 Speaker 1: but in reality you don't have as much as the 118 00:05:41,600 --> 00:05:44,440 Speaker 1: people who aren't living as flashy of a lifestyle. There's 119 00:05:44,440 --> 00:05:46,720 Speaker 1: actually some other cool news about the iPhone this week, 120 00:05:46,760 --> 00:05:50,320 Speaker 1: math that I found actually more compelling than the release 121 00:05:50,360 --> 00:05:53,400 Speaker 1: of the newest one, and it's that Apple is testing 122 00:05:53,440 --> 00:05:56,479 Speaker 1: out using your I D on your phone in a 123 00:05:56,480 --> 00:05:58,520 Speaker 1: handful of states. In our state of Georgia is in 124 00:05:58,560 --> 00:06:00,760 Speaker 1: this pilot program Yeah, they're one of like two states 125 00:06:00,760 --> 00:06:02,880 Speaker 1: that they're gonna implement it first, in which I'm super 126 00:06:02,880 --> 00:06:05,440 Speaker 1: stoked about. Yeah, that's super cools. Like this move basically 127 00:06:05,440 --> 00:06:06,919 Speaker 1: like when you go to the airport now, instead of 128 00:06:06,920 --> 00:06:10,960 Speaker 1: pulling out your physical driver's license, you can just leave 129 00:06:11,000 --> 00:06:13,159 Speaker 1: your wallet at home and bring your phone and show 130 00:06:13,160 --> 00:06:15,680 Speaker 1: it to T s A and keep walking through the line. 131 00:06:16,320 --> 00:06:19,800 Speaker 1: The actual rollout data is still to be determined, but yeah, 132 00:06:19,800 --> 00:06:22,359 Speaker 1: we'll mention it get on the show and further details 133 00:06:22,440 --> 00:06:25,240 Speaker 1: get rolled out. Yeah. Again, Sadly, for me as an 134 00:06:25,240 --> 00:06:27,040 Speaker 1: Android user, this is not something I'll be able to 135 00:06:27,080 --> 00:06:30,520 Speaker 1: take advantage of, but it's cool to see our phones 136 00:06:30,560 --> 00:06:34,599 Speaker 1: that are really doing everything. Now they're replacing our flashlights 137 00:06:34,680 --> 00:06:37,480 Speaker 1: or replacing our calculators, and now they're gonna replace our 138 00:06:37,560 --> 00:06:40,239 Speaker 1: wallets because we can already pay with something like Google 139 00:06:40,279 --> 00:06:42,240 Speaker 1: to Pay, and now being able to put your license 140 00:06:42,279 --> 00:06:44,120 Speaker 1: on there as well. It's like, I love my wallet, 141 00:06:44,160 --> 00:06:46,280 Speaker 1: but what do I need it for? Now? All I 142 00:06:46,360 --> 00:06:47,920 Speaker 1: need is my phone just to be able to whip 143 00:06:47,920 --> 00:06:50,920 Speaker 1: out a little pocket knife, to be able to cut 144 00:06:50,960 --> 00:06:53,000 Speaker 1: little things that I need, open you know, packages, that 145 00:06:53,080 --> 00:06:54,919 Speaker 1: kind of thing. But is this enough for you to 146 00:06:55,000 --> 00:06:57,520 Speaker 1: maybe jump on the bendwagon and get a knife phone. 147 00:06:57,560 --> 00:06:59,559 Speaker 1: And you think I don't. I don't think so, because 148 00:07:00,000 --> 00:07:01,600 Speaker 1: it's gonna come to Android at some point too, right, 149 00:07:01,760 --> 00:07:05,160 Speaker 1: I don't know my well, but like that is honestly 150 00:07:05,200 --> 00:07:07,120 Speaker 1: the only reason that I still carry about all at 151 00:07:07,120 --> 00:07:09,400 Speaker 1: around is because my ideas in there. Just you know, 152 00:07:09,440 --> 00:07:11,440 Speaker 1: when you're going to the liquor store, if you're at 153 00:07:11,440 --> 00:07:14,960 Speaker 1: a restaurant, you get carded, which honestly happens less often. 154 00:07:15,000 --> 00:07:16,560 Speaker 1: Now do you like whence the last time you got carded. 155 00:07:16,560 --> 00:07:17,880 Speaker 1: I don't have as many gray hairs as you, so 156 00:07:17,880 --> 00:07:21,080 Speaker 1: it's understandable if you're getting carded less. But also to you, 157 00:07:21,200 --> 00:07:22,680 Speaker 1: if I've got a bunch of kids with me, like, 158 00:07:22,720 --> 00:07:25,040 Speaker 1: they never card me. When you've got four kids, four 159 00:07:25,080 --> 00:07:26,960 Speaker 1: kids into they're like, okay, there's no way that's a 160 00:07:27,000 --> 00:07:29,400 Speaker 1: bold move to card you. That's a really bold move. 161 00:07:30,360 --> 00:07:33,000 Speaker 1: There's no need for that, that's true. Let's talk about 162 00:07:33,160 --> 00:07:36,640 Speaker 1: security issues here, Joel. Targeted ads are being served up 163 00:07:36,680 --> 00:07:40,080 Speaker 1: to you on your television. We've talked before on the 164 00:07:40,080 --> 00:07:42,880 Speaker 1: show about how TVs are getting smarter, and not just 165 00:07:42,960 --> 00:07:45,880 Speaker 1: when it comes to allowing you to stream content from 166 00:07:45,920 --> 00:07:48,480 Speaker 1: pretty much anywhere. Now, but TVs are are now gathering 167 00:07:48,600 --> 00:07:51,840 Speaker 1: data on what you're watching when you're watching it. Uh 168 00:07:51,880 --> 00:07:53,680 Speaker 1: And honestly, this is part of the reason too that 169 00:07:53,720 --> 00:07:57,440 Speaker 1: TVs have become so much more affordable over the past 170 00:07:57,480 --> 00:07:59,920 Speaker 1: several years, is because these manufacturers are able to make 171 00:08:00,240 --> 00:08:02,480 Speaker 1: money based on the data that they that they gather 172 00:08:02,560 --> 00:08:04,720 Speaker 1: and sell. When it comes to the TVs, now, not 173 00:08:04,840 --> 00:08:07,760 Speaker 1: only are we the consumer, we're the ones making the purchase, 174 00:08:08,200 --> 00:08:11,600 Speaker 1: buying the products, buying the streaming services, buying the devices, 175 00:08:11,800 --> 00:08:14,800 Speaker 1: but we are also the product ourselves because our data 176 00:08:15,080 --> 00:08:18,200 Speaker 1: is being sold to these different data companies that sell 177 00:08:18,400 --> 00:08:22,880 Speaker 1: that information. But Consumer Reports has a great article documenting 178 00:08:22,920 --> 00:08:26,200 Speaker 1: the fact that tailored ads are now the norm when 179 00:08:26,200 --> 00:08:29,840 Speaker 1: we're watching streaming content, just like the bespoke ads you 180 00:08:29,880 --> 00:08:32,040 Speaker 1: get when browsing the web that are based on your 181 00:08:32,040 --> 00:08:34,760 Speaker 1: browsing history, You're likely to have a similar experience the 182 00:08:34,800 --> 00:08:37,200 Speaker 1: next time you sit down to watch something via an 183 00:08:37,240 --> 00:08:39,920 Speaker 1: ad supported streaming app. Honestly, the only one I can 184 00:08:39,920 --> 00:08:41,960 Speaker 1: think of that I use all that often is YouTube 185 00:08:42,000 --> 00:08:44,880 Speaker 1: if I'm trying to look something up on YouTube, I've 186 00:08:44,920 --> 00:08:48,000 Speaker 1: realized how much I've gotten used to not having ads, 187 00:08:48,040 --> 00:08:51,000 Speaker 1: because when you are paying for certain services like Disney Plus, 188 00:08:51,000 --> 00:08:53,800 Speaker 1: like there aren't any ads, But with YouTube, when I 189 00:08:53,800 --> 00:08:57,200 Speaker 1: get that free information, they're always dishing up whatever tailored ads. 190 00:08:57,320 --> 00:09:00,120 Speaker 1: I guess fits the profile of my browsing. My my 191 00:09:00,160 --> 00:09:02,199 Speaker 1: wife was watching something the other day and a commercial 192 00:09:02,240 --> 00:09:04,840 Speaker 1: popped on and I was like, what's going on? Like, 193 00:09:04,880 --> 00:09:07,520 Speaker 1: what are you watching that has commercials? So we like 194 00:09:07,559 --> 00:09:09,760 Speaker 1: we watched streaming things they don't have commercials, and she 195 00:09:09,840 --> 00:09:11,840 Speaker 1: was like, I'm watching the show Ship's Creek and I 196 00:09:11,880 --> 00:09:14,240 Speaker 1: was like, cool. Did you know that we have my 197 00:09:14,280 --> 00:09:16,760 Speaker 1: parents Netflix log in and it's on there and you 198 00:09:16,760 --> 00:09:18,800 Speaker 1: don't have to watch ads? And she was like oh. 199 00:09:19,240 --> 00:09:21,839 Speaker 1: She was sometimes like where you watch depends on whether 200 00:09:21,840 --> 00:09:24,120 Speaker 1: you're gonna get ads right, and so if she was 201 00:09:24,160 --> 00:09:26,440 Speaker 1: watching on the wrong streaming service and watching commercials for 202 00:09:26,480 --> 00:09:29,160 Speaker 1: no reason. But I think the creevious thing about that 203 00:09:29,280 --> 00:09:32,559 Speaker 1: article was someone from a media company saying that they 204 00:09:32,559 --> 00:09:35,280 Speaker 1: know which physical stores you've spent time in and that 205 00:09:35,400 --> 00:09:38,040 Speaker 1: they use that information to feed you ads to basically 206 00:09:38,080 --> 00:09:40,040 Speaker 1: like if you were at Best Buy for forty five minutes, 207 00:09:40,160 --> 00:09:42,319 Speaker 1: we know it. It's like, oh my gosh, it's so weird. 208 00:09:43,080 --> 00:09:45,160 Speaker 1: It's it kind of feels like what don't they know 209 00:09:45,200 --> 00:09:47,240 Speaker 1: about us at this point in time? And U Yeah, 210 00:09:47,240 --> 00:09:50,640 Speaker 1: by the way, they're serving up these targeted ads through 211 00:09:50,800 --> 00:09:54,079 Speaker 1: what's known as a c R, or automated content recognition, 212 00:09:54,640 --> 00:09:57,199 Speaker 1: So it's even creepier mat that the TV makers can 213 00:09:57,200 --> 00:09:59,840 Speaker 1: figure out exactly what you're watching, even if you're not 214 00:10:00,000 --> 00:10:02,480 Speaker 1: watching something connected to the Internet, even if it's just 215 00:10:02,640 --> 00:10:06,240 Speaker 1: a DVD, because they're taking still pictures along the way 216 00:10:06,280 --> 00:10:09,520 Speaker 1: while you're watching it, and there's they're using that that 217 00:10:09,640 --> 00:10:12,679 Speaker 1: data as well. So yeah, what's a person to do. Well, 218 00:10:12,920 --> 00:10:15,800 Speaker 1: Um Consumer Reports again, who did a lot of great 219 00:10:15,800 --> 00:10:18,240 Speaker 1: work on this front. They've got a guide to turning 220 00:10:18,360 --> 00:10:21,440 Speaker 1: that a c R feature off on your specific TV 221 00:10:22,160 --> 00:10:24,800 Speaker 1: if you'd like your viewing habits to remain more private. 222 00:10:24,960 --> 00:10:27,559 Speaker 1: I don't know that there's any way to completely get 223 00:10:27,559 --> 00:10:30,040 Speaker 1: everything back in the bag, but you can do the 224 00:10:30,080 --> 00:10:32,240 Speaker 1: best you can by turning this off on your TV. 225 00:10:32,559 --> 00:10:34,960 Speaker 1: And they've got like different models and how you do that. 226 00:10:35,440 --> 00:10:38,080 Speaker 1: So it's worth checking out if this creeps you out 227 00:10:38,120 --> 00:10:40,600 Speaker 1: as much as it does Matt and I, yeah, well 228 00:10:40,640 --> 00:10:42,280 Speaker 1: I say it creeps me out and then I don't 229 00:10:42,320 --> 00:10:43,959 Speaker 1: like it. But then at the same time, sometimes when 230 00:10:43,960 --> 00:10:46,680 Speaker 1: I get you know, dished up a very customized ad 231 00:10:46,720 --> 00:10:49,400 Speaker 1: on Instagram and something's on sale. I say, oh, oh, 232 00:10:49,440 --> 00:10:52,240 Speaker 1: that's awesome. I'm glad I know that because that's actually 233 00:10:52,280 --> 00:10:54,880 Speaker 1: I made a purchase the last fall on a jacket 234 00:10:55,160 --> 00:10:57,959 Speaker 1: that was served up to me within my Instagram feed, 235 00:10:58,120 --> 00:10:59,600 Speaker 1: and they wouldn't have been able to do that without 236 00:10:59,600 --> 00:11:02,000 Speaker 1: my data. Right, that's true. All right, let's talk about 237 00:11:02,000 --> 00:11:04,319 Speaker 1: travel for a second. Trip stacking. Have you ever heard 238 00:11:04,320 --> 00:11:06,319 Speaker 1: of this term. It's like a new phrase that has 239 00:11:06,559 --> 00:11:09,760 Speaker 1: entered the phrase just this week. This is fascinating, it's 240 00:11:09,800 --> 00:11:11,840 Speaker 1: it's it's totally a thing now. A friend of the show, 241 00:11:11,880 --> 00:11:15,120 Speaker 1: Scott Kais, was interviewed for a New York Times article 242 00:11:15,120 --> 00:11:17,920 Speaker 1: about trip stacking this week. It's a super interesting concept, 243 00:11:17,960 --> 00:11:20,760 Speaker 1: and I see the appeal in the current travel environment. 244 00:11:20,960 --> 00:11:23,480 Speaker 1: The idea is that you book two trips over the 245 00:11:23,520 --> 00:11:25,280 Speaker 1: same period of time, and then you go on the 246 00:11:25,320 --> 00:11:28,560 Speaker 1: trip that seems like the most viable as you get 247 00:11:28,559 --> 00:11:31,360 Speaker 1: closer to the departure date with because because like one trip, 248 00:11:31,440 --> 00:11:33,800 Speaker 1: maybe the borders are close and you can't exactly one 249 00:11:33,800 --> 00:11:35,320 Speaker 1: of the places that you're trying to get, or there's 250 00:11:35,320 --> 00:11:38,360 Speaker 1: a spike in COVID, maybe in your you know, destination stating, 251 00:11:38,360 --> 00:11:41,000 Speaker 1: and you're like, maybe not I go there, maybe next year. 252 00:11:41,320 --> 00:11:43,560 Speaker 1: And so ultimately how this works is that you're gonna 253 00:11:43,600 --> 00:11:46,120 Speaker 1: take both trips, but you'll just push one of those 254 00:11:46,160 --> 00:11:49,520 Speaker 1: trips back aways on your calendar, cross your fingers. Maybe 255 00:11:49,600 --> 00:11:51,760 Speaker 1: next year things will be all right. But before you 256 00:11:51,800 --> 00:11:53,440 Speaker 1: take this approach, you need to make sure that you 257 00:11:53,520 --> 00:11:56,200 Speaker 1: understand that there are some downsides. You need to make 258 00:11:56,200 --> 00:11:59,520 Speaker 1: sure that you go about trip stacking in the proper way. Yeah, exactly, 259 00:11:59,559 --> 00:12:01,840 Speaker 1: because if you don't, you might end up taking one 260 00:12:01,880 --> 00:12:04,600 Speaker 1: trip for the price of two that is not ideal 261 00:12:04,679 --> 00:12:06,600 Speaker 1: and that that would in in fact be a giant 262 00:12:06,600 --> 00:12:09,440 Speaker 1: waste of money. But yeah, basically, if you book two 263 00:12:09,480 --> 00:12:12,800 Speaker 1: trips and the airline cancels, of course you're entitled to 264 00:12:12,880 --> 00:12:16,080 Speaker 1: a refund. But if you cancel those tickets then the 265 00:12:16,120 --> 00:12:19,680 Speaker 1: airline will typically offer you a travel voucher. And so 266 00:12:19,760 --> 00:12:21,280 Speaker 1: where you could really be out of money is if 267 00:12:21,280 --> 00:12:23,520 Speaker 1: you fail to use that voucher in the allotted time 268 00:12:23,600 --> 00:12:26,800 Speaker 1: given to you by the airline. For most airlines, if 269 00:12:26,800 --> 00:12:29,640 Speaker 1: you canceled that trip, if you book that trip this year, 270 00:12:31,240 --> 00:12:33,959 Speaker 1: you'll have use of that voucher to book another trip 271 00:12:34,280 --> 00:12:37,280 Speaker 1: through December thirty one of next year, so you've got 272 00:12:37,280 --> 00:12:39,920 Speaker 1: time to take another trip, but just make sure you're 273 00:12:39,960 --> 00:12:43,120 Speaker 1: aware of the specific rules surrounding that voucher. But if 274 00:12:43,160 --> 00:12:46,160 Speaker 1: you have booked with airline Miles and then you cancel, 275 00:12:46,360 --> 00:12:48,000 Speaker 1: then you get all your miles back if you don't 276 00:12:48,040 --> 00:12:50,680 Speaker 1: take that second trip, So that's probably the best option. 277 00:12:50,920 --> 00:12:53,320 Speaker 1: Booking with Miles is going to offer you superior protection. 278 00:12:53,520 --> 00:12:55,720 Speaker 1: But I love this idea of trip stacking math. It 279 00:12:55,720 --> 00:12:57,360 Speaker 1: sounds like a big pain in one way to try 280 00:12:57,360 --> 00:12:59,520 Speaker 1: to play in two trips at once and then cancel 281 00:12:59,600 --> 00:13:02,280 Speaker 1: one and rebook it for a later date. But if 282 00:13:02,440 --> 00:13:04,560 Speaker 1: you are dying to travel and you want to do 283 00:13:04,600 --> 00:13:06,760 Speaker 1: so safely, it seems like one of the best ways 284 00:13:06,800 --> 00:13:10,040 Speaker 1: to kind of head your bets. That's right, And fortunately 285 00:13:10,080 --> 00:13:13,120 Speaker 1: the major airlines are allowing for just more flexibility that 286 00:13:13,160 --> 00:13:17,079 Speaker 1: they don't normally offer for their cheapest basic economy fairs, 287 00:13:17,240 --> 00:13:18,920 Speaker 1: And so if you buy a ticket this year, you 288 00:13:18,960 --> 00:13:21,960 Speaker 1: won't have to pay a change fee, although you might 289 00:13:21,960 --> 00:13:24,280 Speaker 1: owe a little bit more money if there's a difference 290 00:13:24,360 --> 00:13:26,520 Speaker 1: in the fair, and so that's something to keep in mind. 291 00:13:26,600 --> 00:13:29,200 Speaker 1: And so yes, trip stacking this could be a helpful 292 00:13:29,240 --> 00:13:32,320 Speaker 1: strategy to plan for vacations. That way, you know you've 293 00:13:32,320 --> 00:13:35,040 Speaker 1: got some time planned off work on this make sure 294 00:13:35,120 --> 00:13:38,080 Speaker 1: is that that vacation doesn't end up a staycation because 295 00:13:38,120 --> 00:13:40,480 Speaker 1: you can't actually or don't want to actually go to 296 00:13:40,679 --> 00:13:43,520 Speaker 1: the destination you had in mind. All right, Joel, We've 297 00:13:43,559 --> 00:13:44,959 Speaker 1: got a few more stories that we're wanna get to 298 00:13:45,160 --> 00:13:48,600 Speaker 1: right after the break, including that Kardashian crypto kerfuffle. We'll 299 00:13:48,600 --> 00:13:59,680 Speaker 1: get to that plus others right after this break. All right, 300 00:13:59,679 --> 00:14:01,800 Speaker 1: we're from the break and it is time to get 301 00:14:01,840 --> 00:14:04,320 Speaker 1: to one of our favorite segments of all time. It 302 00:14:04,400 --> 00:14:07,160 Speaker 1: is the ludicrous headline of the week. And of course, Matt, 303 00:14:07,200 --> 00:14:10,160 Speaker 1: this one is Kim Kardashian related. Um, one of your 304 00:14:10,200 --> 00:14:14,160 Speaker 1: favorite Americans, right, your favorite Kardashian specifically, right, So, well, 305 00:14:14,760 --> 00:14:16,560 Speaker 1: now I think Chloe is probably my favorite, Matt. If 306 00:14:16,559 --> 00:14:19,240 Speaker 1: you're not, I don't even know how. I literally don't know. Yeah, 307 00:14:19,280 --> 00:14:22,000 Speaker 1: I know there's those two, right, Yeah, I couldn't name 308 00:14:22,040 --> 00:14:23,720 Speaker 1: the other ones, I don't think, but um, yeah, So 309 00:14:23,760 --> 00:14:27,960 Speaker 1: here's the headline, Kim Kardashian and Cryptofomo why regulators are 310 00:14:28,040 --> 00:14:31,920 Speaker 1: worried And this one comes from CNN Business. Kim Kardashian, 311 00:14:31,920 --> 00:14:34,480 Speaker 1: as it turns out, has over two hundred and fifty 312 00:14:34,560 --> 00:14:37,440 Speaker 1: million followers on Instagram. She just she that feat recently, 313 00:14:37,440 --> 00:14:41,080 Speaker 1: So congratulations, Kim, we are I believe nipping at your 314 00:14:41,120 --> 00:14:44,160 Speaker 1: hills with twelve six hundred. I am not one of 315 00:14:44,200 --> 00:14:47,680 Speaker 1: these Kim Kardashian Instagram followers, but yeah, more proper to 316 00:14:47,680 --> 00:14:49,920 Speaker 1: her for, you know, doing what she's doing and apparently Matt. 317 00:14:50,000 --> 00:14:54,200 Speaker 1: She recently released a sponsored Instagram post hyping up a 318 00:14:54,280 --> 00:14:59,360 Speaker 1: fairly new cryptocurrency coin, and that post made ripples not 319 00:14:59,480 --> 00:15:01,640 Speaker 1: just here in the US, but across the pond, because 320 00:15:01,760 --> 00:15:04,120 Speaker 1: when you're Kim Kardashian, you make that big of a splash, 321 00:15:04,280 --> 00:15:07,280 Speaker 1: and it drew some harsh comments from a regulator in 322 00:15:07,440 --> 00:15:10,880 Speaker 1: the UK. His name's Charles Randall, he basically said, which 323 00:15:10,920 --> 00:15:15,920 Speaker 1: is like the most British name ever, Charles Randol. And uh. 324 00:15:15,960 --> 00:15:18,400 Speaker 1: He basically was like, the Internet's full of crap and 325 00:15:18,680 --> 00:15:21,440 Speaker 1: he's right on that too. But yeah, while we agree 326 00:15:21,520 --> 00:15:24,240 Speaker 1: that there is some terrible investing advice out there, We've 327 00:15:24,280 --> 00:15:28,040 Speaker 1: talked about this. Some of the influencers out there on TikTok, Instagram, 328 00:15:28,160 --> 00:15:30,560 Speaker 1: wherever you're getting your social media, we're seeing more and 329 00:15:30,600 --> 00:15:33,320 Speaker 1: more finance content out there, and a lot of it's 330 00:15:33,360 --> 00:15:35,960 Speaker 1: not very good. But we just don't believe that more 331 00:15:36,000 --> 00:15:39,000 Speaker 1: regulation is the right answer. So yeah, we say, let 332 00:15:39,040 --> 00:15:42,280 Speaker 1: the ad play, let it stand if if they're you know, 333 00:15:42,280 --> 00:15:45,040 Speaker 1: that coin is willing to pay a Kardashian to promote 334 00:15:45,040 --> 00:15:48,480 Speaker 1: it or whoever. But the responsibility really and always remains 335 00:15:48,520 --> 00:15:52,200 Speaker 1: with us as independent adults, uh and investors as to 336 00:15:52,280 --> 00:15:54,080 Speaker 1: what we choose to do with our money. It's pretty 337 00:15:54,160 --> 00:15:56,760 Speaker 1: much always a bad idea to take investing advice from 338 00:15:56,800 --> 00:15:59,400 Speaker 1: a celebrity who's getting paid to dispense it. And really, 339 00:16:00,040 --> 00:16:03,560 Speaker 1: I'm you know, a celebrity in general, just Hollywood types 340 00:16:03,600 --> 00:16:06,520 Speaker 1: like um, you know, they live different lives than most 341 00:16:06,520 --> 00:16:09,520 Speaker 1: of the rest of us. And so yeah, if any Kardashian, 342 00:16:09,680 --> 00:16:14,520 Speaker 1: Chloe Kim, whoever it is, Kanye, or if Kanye is 343 00:16:14,560 --> 00:16:17,560 Speaker 1: dispensing investing, I'm probably not going to be listening, or 344 00:16:17,560 --> 00:16:19,200 Speaker 1: I'll take it with a grain of salt. And I 345 00:16:19,280 --> 00:16:24,000 Speaker 1: just recommend that we all have that approach when we 346 00:16:24,200 --> 00:16:26,640 Speaker 1: see these ads on Instagram or just you know, any 347 00:16:26,680 --> 00:16:29,440 Speaker 1: kind of content in general that's trying to push us 348 00:16:29,440 --> 00:16:31,720 Speaker 1: in a certain direction. Yeah, it's just crucial for us 349 00:16:31,720 --> 00:16:34,000 Speaker 1: to do our own research before jumping in with both feet, 350 00:16:34,160 --> 00:16:36,480 Speaker 1: and it's it's important for us to look to trusted sources, 351 00:16:36,600 --> 00:16:39,880 Speaker 1: especially if you're considering a decision that has a large 352 00:16:39,880 --> 00:16:42,480 Speaker 1: price tag attached to it. And you know, we gotta 353 00:16:42,480 --> 00:16:44,320 Speaker 1: say this one hits a little bit closer to home 354 00:16:44,600 --> 00:16:46,840 Speaker 1: because of the way that we are able to support 355 00:16:46,920 --> 00:16:50,320 Speaker 1: and run the podcast is through advertising. You know those ads, 356 00:16:50,360 --> 00:16:53,680 Speaker 1: just like the one from Kim Kardashian, Sorry k came 357 00:16:53,720 --> 00:16:56,560 Speaker 1: at her close friends? Do they really? I don't know, 358 00:16:56,600 --> 00:16:59,840 Speaker 1: I'm not a close friend. Well, those ads are clearly delineated. 359 00:17:00,200 --> 00:17:03,160 Speaker 1: You see the ads on Instagram, they have hashtag ad. 360 00:17:03,200 --> 00:17:05,240 Speaker 1: When you know you hear the music break, that's when 361 00:17:05,240 --> 00:17:07,040 Speaker 1: you know our ads are about to run. But we 362 00:17:07,080 --> 00:17:09,119 Speaker 1: wanted to mention that because the ads that we voice 363 00:17:09,560 --> 00:17:11,520 Speaker 1: are the only ones that we actually have control over, 364 00:17:11,880 --> 00:17:14,520 Speaker 1: and we choose to only voice for companies that we 365 00:17:14,680 --> 00:17:16,480 Speaker 1: like and that we think are going to be good 366 00:17:16,560 --> 00:17:20,000 Speaker 1: for our audience. But even still that you know, either way, 367 00:17:20,119 --> 00:17:23,119 Speaker 1: whether it's an ad you see or that you hear elsewhere, 368 00:17:23,240 --> 00:17:26,040 Speaker 1: even on our show or even just other content within 369 00:17:26,119 --> 00:17:28,560 Speaker 1: our show, we want you to do your own due 370 00:17:28,600 --> 00:17:31,840 Speaker 1: diligence before you act. Hopefully we've you know, you've you 371 00:17:31,840 --> 00:17:33,880 Speaker 1: trust us to give you the best in the right 372 00:17:33,880 --> 00:17:36,800 Speaker 1: information here on the show. That's our goal, our goals 373 00:17:36,840 --> 00:17:39,320 Speaker 1: to help our listeners. We want to make sure that 374 00:17:39,359 --> 00:17:43,040 Speaker 1: everyone is making wise financial decisions. But so much of 375 00:17:43,080 --> 00:17:45,560 Speaker 1: personal finance is personal, and so you have to make 376 00:17:45,600 --> 00:17:47,399 Speaker 1: sure that you know something that might be good for 377 00:17:47,480 --> 00:17:50,280 Speaker 1: Joel and I even I mean, gosh, even earlier this episode, 378 00:17:50,480 --> 00:17:52,720 Speaker 1: like we talked about credit cards. If you have a 379 00:17:52,720 --> 00:17:54,840 Speaker 1: problem with spending on credit cards, like that should be 380 00:17:54,880 --> 00:17:58,159 Speaker 1: something that you completely avoid, like do not get that 381 00:17:58,320 --> 00:18:01,679 Speaker 1: Chase card with that man of uh, you know, welcome 382 00:18:01,680 --> 00:18:03,920 Speaker 1: but us or whatever, because if you're just getting started, 383 00:18:04,400 --> 00:18:07,320 Speaker 1: it's like, and you know that that's your propensity exactly, 384 00:18:07,320 --> 00:18:08,800 Speaker 1: that's not the right move for you right now exactly. 385 00:18:08,840 --> 00:18:10,160 Speaker 1: So you have to make sure that you go into 386 00:18:10,200 --> 00:18:12,720 Speaker 1: any decision with your your eyes wide open and that 387 00:18:12,840 --> 00:18:15,760 Speaker 1: you are thinking for yourself. And we're not perfect, Like 388 00:18:15,800 --> 00:18:17,960 Speaker 1: we screw up too or we'll say the wrong thing, 389 00:18:18,320 --> 00:18:20,320 Speaker 1: um and so we again we try to give the 390 00:18:20,320 --> 00:18:23,720 Speaker 1: best advice, but we're not always right either. So that, yeah, 391 00:18:23,760 --> 00:18:26,680 Speaker 1: that is a good reminder. I like to consult multiple sources, Matt, 392 00:18:27,080 --> 00:18:29,520 Speaker 1: when I'm reading news to try to get an informed outlook, 393 00:18:29,520 --> 00:18:31,320 Speaker 1: and you know, we recommend our listeners do the same. 394 00:18:31,800 --> 00:18:33,800 Speaker 1: Let's move on, Matt, to this robin Hood story, this 395 00:18:33,840 --> 00:18:36,400 Speaker 1: new feature that they're launching. They're they're planning to roll 396 00:18:36,440 --> 00:18:38,960 Speaker 1: out something that allows you to access your paycheck a 397 00:18:39,000 --> 00:18:42,720 Speaker 1: couple of days earlier. This was reported by Bloomberg. A 398 00:18:42,760 --> 00:18:44,600 Speaker 1: few of the online banks have kind of been doing 399 00:18:44,640 --> 00:18:46,280 Speaker 1: this for a while now, so it seems like no 400 00:18:46,359 --> 00:18:50,000 Speaker 1: big deal, right, everybody's doing it well, kind of. We've 401 00:18:50,040 --> 00:18:52,760 Speaker 1: got no problems with you having the money that you've 402 00:18:52,800 --> 00:18:55,560 Speaker 1: made in your hands earlier. If your employer wants to 403 00:18:55,560 --> 00:18:58,560 Speaker 1: pay you daily, that's fine. If your bank wants to 404 00:18:58,560 --> 00:19:00,600 Speaker 1: say that your funds are available and ins day instead 405 00:19:00,640 --> 00:19:03,480 Speaker 1: of Friday, that's that's cool too. Like before the direct 406 00:19:03,480 --> 00:19:05,760 Speaker 1: deposit actually hits, if you have access to it, I 407 00:19:05,800 --> 00:19:09,000 Speaker 1: don't care. You can start earning interest on your own 408 00:19:09,000 --> 00:19:13,240 Speaker 1: money earlier than before, and that's great. The problem is though, 409 00:19:13,440 --> 00:19:16,320 Speaker 1: that we as individuals, we get used to a new 410 00:19:16,359 --> 00:19:19,160 Speaker 1: pay cycle pretty quickly, and then we can become dependent 411 00:19:19,240 --> 00:19:20,840 Speaker 1: on it, and it makes it easier for us to 412 00:19:20,880 --> 00:19:23,520 Speaker 1: live with less of a cushion. So yeah, we would say, 413 00:19:23,600 --> 00:19:26,560 Speaker 1: don't let earlier access to your hard earned dollars allow 414 00:19:26,600 --> 00:19:30,199 Speaker 1: you to spend those dollars more recklessly. This is a 415 00:19:30,240 --> 00:19:34,600 Speaker 1: feature that's interesting and we don't mind it, but behaviorally 416 00:19:35,080 --> 00:19:37,679 Speaker 1: our reaction to it can be the problem. Yeah. I mean, honestly, 417 00:19:37,680 --> 00:19:39,840 Speaker 1: it makes me think of the Advanced Child Tax Credit 418 00:19:40,000 --> 00:19:41,760 Speaker 1: right instead of paying that out at the end of 419 00:19:41,760 --> 00:19:44,280 Speaker 1: the year after you file your taxes, this is something 420 00:19:44,320 --> 00:19:47,280 Speaker 1: that's being trickled out to people every single month, and 421 00:19:47,400 --> 00:19:50,160 Speaker 1: whilst I do see the advantages to that, it increases 422 00:19:50,520 --> 00:19:54,800 Speaker 1: individuals dependence on that money. I do not like seeing that. 423 00:19:54,840 --> 00:19:57,080 Speaker 1: I want people to be effected. Yea. And if it 424 00:19:57,200 --> 00:20:00,159 Speaker 1: was not there one month, you're like, what exactly? So 425 00:20:00,200 --> 00:20:01,800 Speaker 1: we don't want folks to be in that situation where 426 00:20:01,800 --> 00:20:04,040 Speaker 1: they're counting on something like that to show up. We 427 00:20:04,080 --> 00:20:06,800 Speaker 1: want you to have enough margin on your own you know, 428 00:20:06,880 --> 00:20:08,439 Speaker 1: on your own terms, like you're in charge of your 429 00:20:08,440 --> 00:20:11,720 Speaker 1: own money, and to not be expectant on these advances 430 00:20:11,720 --> 00:20:15,000 Speaker 1: that show up. I really don't like the position that 431 00:20:15,000 --> 00:20:16,880 Speaker 1: it puts people in, but I think this is also 432 00:20:16,920 --> 00:20:19,200 Speaker 1: a really good time to just to warn our listeners 433 00:20:19,520 --> 00:20:21,919 Speaker 1: how easy a company like robin hood is making it 434 00:20:22,040 --> 00:20:24,880 Speaker 1: too quickly and seamlessly move your money around because they're 435 00:20:24,880 --> 00:20:27,720 Speaker 1: they're moving all of this within their app, or it's 436 00:20:27,760 --> 00:20:29,400 Speaker 1: reported at least that they're going to include this within 437 00:20:29,400 --> 00:20:31,600 Speaker 1: their app. They wanted to seem like that they're doing 438 00:20:31,640 --> 00:20:34,760 Speaker 1: something super noble, giving you access to your money earlier 439 00:20:34,800 --> 00:20:38,800 Speaker 1: than before. Yeah, or robin Hood, it's your money, it's 440 00:20:38,800 --> 00:20:41,119 Speaker 1: in our name. But what do they want you to 441 00:20:41,200 --> 00:20:43,399 Speaker 1: do with that money. Well, they would really love it 442 00:20:43,440 --> 00:20:45,560 Speaker 1: if you would invest more of it. And of course 443 00:20:45,800 --> 00:20:49,240 Speaker 1: we do love investing, but there's a real danger here 444 00:20:49,280 --> 00:20:53,000 Speaker 1: if you're investing just on a whim, especially in single stocks, 445 00:20:53,240 --> 00:20:55,720 Speaker 1: with money that instead should be sitting inside just a 446 00:20:55,760 --> 00:20:58,600 Speaker 1: boring savings and checking account. Uh, you might be prone 447 00:20:58,640 --> 00:21:01,639 Speaker 1: to risking too much money that you really need to 448 00:21:01,720 --> 00:21:04,879 Speaker 1: keep on hand, save for an emergency fund or for 449 00:21:05,040 --> 00:21:06,960 Speaker 1: a larger savings goal. And so that's a part of 450 00:21:06,960 --> 00:21:10,360 Speaker 1: the reason we don't like just the just how these 451 00:21:10,359 --> 00:21:12,879 Speaker 1: different apps are just greasing the tracks and allowing us 452 00:21:12,880 --> 00:21:15,840 Speaker 1: to move money without hardly even thinking about it. We 453 00:21:15,840 --> 00:21:18,639 Speaker 1: don't want you to make investment decisions like that on 454 00:21:18,640 --> 00:21:20,680 Speaker 1: a whim. And on top of that too, Robin Hood, 455 00:21:20,760 --> 00:21:23,920 Speaker 1: Like they don't even offer retirement accounts, and that should 456 00:21:23,920 --> 00:21:27,280 Speaker 1: be the number one priority for the money that you're investing. Uh. 457 00:21:27,320 --> 00:21:29,320 Speaker 1: And so again we're saying all this because we want you. 458 00:21:29,600 --> 00:21:31,960 Speaker 1: It's not that we're against Robin Hood. We I really 459 00:21:32,000 --> 00:21:35,560 Speaker 1: like how intuitive and how easy they're able to make things. 460 00:21:35,880 --> 00:21:37,880 Speaker 1: But that only works if you have an actual plan 461 00:21:37,960 --> 00:21:40,160 Speaker 1: for your money. Uh. If they're making it too easy 462 00:21:40,160 --> 00:21:41,680 Speaker 1: for you and you don't have a plan, well, they're 463 00:21:41,680 --> 00:21:43,800 Speaker 1: just making it really easy for you to make mistakes 464 00:21:44,160 --> 00:21:47,600 Speaker 1: rather than execute the smart money moves that you've planned out. Yeah, exactly. 465 00:21:47,640 --> 00:21:50,240 Speaker 1: All right, let's move on though, and let's talk about 466 00:21:50,240 --> 00:21:53,400 Speaker 1: automation for a second, Matt. It's obviously been a focus 467 00:21:53,600 --> 00:21:55,720 Speaker 1: in our economy for a while now, more and more 468 00:21:55,720 --> 00:21:59,040 Speaker 1: automation happening. Ever since you know, Henry Ford and the 469 00:21:59,080 --> 00:22:03,880 Speaker 1: assembly line, automation has been an important part reference exactly. Yeah, 470 00:22:04,640 --> 00:22:06,880 Speaker 1: it has been really just this really important part of 471 00:22:07,040 --> 00:22:09,239 Speaker 1: what it looks like to become more efficient and more 472 00:22:09,280 --> 00:22:12,280 Speaker 1: optimized for all sorts of different companies. But yeah, the 473 00:22:12,560 --> 00:22:15,200 Speaker 1: trend to automate as much as possible has been accelerating. 474 00:22:15,200 --> 00:22:17,960 Speaker 1: A lot of that has been due to COVID. Understandably, 475 00:22:18,080 --> 00:22:21,600 Speaker 1: a survey last year found that forty of employers planned 476 00:22:21,600 --> 00:22:26,159 Speaker 1: to reduce their workforce by implementing new technologies. And that 477 00:22:26,200 --> 00:22:28,239 Speaker 1: sounds scary, and I think in some ways it is. 478 00:22:28,560 --> 00:22:32,000 Speaker 1: But the interesting thing is that automation all I think 479 00:22:32,040 --> 00:22:33,760 Speaker 1: for for years a lot of people have used it 480 00:22:33,800 --> 00:22:36,320 Speaker 1: as this, um, hey, we're gonna automate more stuff, more 481 00:22:36,359 --> 00:22:38,400 Speaker 1: people are gonna lose their jobs, and it's gonna lead 482 00:22:38,400 --> 00:22:41,440 Speaker 1: to widespread unemployment. We haven't really seen that be the 483 00:22:41,480 --> 00:22:45,040 Speaker 1: case though, um but it is particularly hitting the service 484 00:22:45,040 --> 00:22:47,800 Speaker 1: sector hard right now. The l Times actually had an 485 00:22:47,880 --> 00:22:51,440 Speaker 1: article and it mentioned Sweet Greens buying robots that cook 486 00:22:51,560 --> 00:22:53,680 Speaker 1: and dish up veggies. I kind of want to see 487 00:22:53,680 --> 00:22:56,160 Speaker 1: this thing in action. I've seen like Flippy the Hamburger 488 00:22:56,320 --> 00:22:59,480 Speaker 1: for the robot Burger. But it also highlighted using an 489 00:22:59,480 --> 00:23:01,920 Speaker 1: AI robe bot at Arby's that will take your order 490 00:23:01,920 --> 00:23:04,280 Speaker 1: and then relay it to the kitchen. So instead of 491 00:23:04,560 --> 00:23:07,720 Speaker 1: that friendly voice over the microphone or not so friendly 492 00:23:07,760 --> 00:23:10,560 Speaker 1: depending on where you're going, asking you what your order is, 493 00:23:10,800 --> 00:23:14,639 Speaker 1: now this AI enabled machine is taking your order. And 494 00:23:15,119 --> 00:23:18,920 Speaker 1: mobile ordering via QR code has obviously become ubiquitous during 495 00:23:18,920 --> 00:23:22,280 Speaker 1: the pandemic. Um automation is just quickly changing the job market, 496 00:23:22,320 --> 00:23:25,679 Speaker 1: and it's changing our expectations as consumers when we go 497 00:23:25,720 --> 00:23:27,880 Speaker 1: out to eat and in other areas too. But it's 498 00:23:27,920 --> 00:23:30,919 Speaker 1: just interesting how the restaurant sector is seeing it the 499 00:23:30,960 --> 00:23:32,600 Speaker 1: most quickly. Yeah, what do you think by the way 500 00:23:32,640 --> 00:23:35,199 Speaker 1: of mobile ordering via the QR code as opposed to 501 00:23:35,200 --> 00:23:38,239 Speaker 1: like wait staff, I kind of miss the old I 502 00:23:38,280 --> 00:23:40,520 Speaker 1: totally miss that. Yeah, but I get it, like it 503 00:23:40,560 --> 00:23:42,679 Speaker 1: makes sense and I understand the necessity for it, But 504 00:23:42,720 --> 00:23:45,560 Speaker 1: I definitely miss like getting to know my waiter just 505 00:23:45,600 --> 00:23:48,560 Speaker 1: a little bit, the personal interaction, like the humanity aspect 506 00:23:48,720 --> 00:23:51,360 Speaker 1: of talking with another another human being, having them make 507 00:23:51,440 --> 00:23:55,040 Speaker 1: some recommendations for you, them telling you, oh, actually this 508 00:23:55,080 --> 00:23:56,720 Speaker 1: isn't even on the menu yet because we just made 509 00:23:56,720 --> 00:23:58,960 Speaker 1: the switch. We just kicked that beer and we just 510 00:23:58,960 --> 00:24:01,320 Speaker 1: put those new ones at that kind of thing. I 511 00:24:01,480 --> 00:24:04,120 Speaker 1: miss that part of going to a restaurant so much, 512 00:24:04,400 --> 00:24:06,600 Speaker 1: and that's just a huge part of the experience. I 513 00:24:06,640 --> 00:24:08,880 Speaker 1: totally get it. Say at Arby's, like, you're not really 514 00:24:08,920 --> 00:24:12,920 Speaker 1: looking for experience, just looking for a triple roast beef sandwich. 515 00:24:13,800 --> 00:24:16,280 Speaker 1: You want to get through that line quickly. Uh. And 516 00:24:16,400 --> 00:24:18,080 Speaker 1: because that's what a drive through is. You want to 517 00:24:18,119 --> 00:24:20,080 Speaker 1: hit the road, you're going somewhere. But if you're going 518 00:24:20,119 --> 00:24:22,040 Speaker 1: to sit down at a restaurant, you're not just going 519 00:24:22,080 --> 00:24:24,320 Speaker 1: there for the food. You're going there to sit down 520 00:24:24,359 --> 00:24:26,240 Speaker 1: to enjoy the weather. If you're sitting on side to 521 00:24:26,320 --> 00:24:28,720 Speaker 1: enjoy the ambiance. Uh. And a part of that is 522 00:24:28,720 --> 00:24:32,160 Speaker 1: the wait staff. I totally miss uh some restaurants who 523 00:24:32,200 --> 00:24:34,879 Speaker 1: have switched to the the QR code ordering, Like I 524 00:24:34,920 --> 00:24:36,760 Speaker 1: don't mind it for the menu, It's like, okay, I 525 00:24:36,800 --> 00:24:38,880 Speaker 1: can just do that. It's the most up to date menu. 526 00:24:39,359 --> 00:24:40,719 Speaker 1: Get that. I also don't want to be on my 527 00:24:40,800 --> 00:24:43,280 Speaker 1: phone while I feel like I'm scrolling through my phone. 528 00:24:44,200 --> 00:24:46,200 Speaker 1: Rather have a big, old large menu and you can 529 00:24:46,200 --> 00:24:47,840 Speaker 1: point to stuff if you're there with your you know, 530 00:24:47,880 --> 00:24:50,040 Speaker 1: on a date with your wife, that kind of thing. Um. 531 00:24:50,440 --> 00:24:52,320 Speaker 1: And that's the other part of it too, the technology. 532 00:24:52,520 --> 00:24:54,480 Speaker 1: Like I'm thinking of one place that you know, I 533 00:24:54,480 --> 00:24:56,000 Speaker 1: went to and we had to like punch in our 534 00:24:56,040 --> 00:25:00,639 Speaker 1: credit card numbers directly into this form on their online ordering. 535 00:25:00,920 --> 00:25:02,760 Speaker 1: Talk about a huge pain. Like I don't know if 536 00:25:02,800 --> 00:25:04,480 Speaker 1: that was just because they had just gotten set up. 537 00:25:04,560 --> 00:25:07,960 Speaker 1: And also you're worried about identity TEP or something like that, right, Like, well, 538 00:25:07,960 --> 00:25:10,240 Speaker 1: I guess so. I mean maybe the argument is that 539 00:25:10,480 --> 00:25:12,520 Speaker 1: at least there's not a waiter who's gonna like write 540 00:25:12,520 --> 00:25:14,240 Speaker 1: down your number, you know, off on the side. But 541 00:25:14,240 --> 00:25:16,119 Speaker 1: I would rather that's why they need to do what 542 00:25:16,119 --> 00:25:18,480 Speaker 1: they do in Europe and bring the credit card machine 543 00:25:18,520 --> 00:25:20,280 Speaker 1: to who you at the table like that. That's a 544 00:25:20,320 --> 00:25:22,040 Speaker 1: so much better way to handle it with because when 545 00:25:22,040 --> 00:25:23,880 Speaker 1: they walk off with it and it's you know, out 546 00:25:23,880 --> 00:25:26,600 Speaker 1: of your sight, that's either well, and they have been 547 00:25:26,600 --> 00:25:28,840 Speaker 1: doing that more often, bringing you like the little square 548 00:25:29,160 --> 00:25:31,960 Speaker 1: terminal or the clover terminal, that kind of thing. But 549 00:25:32,000 --> 00:25:35,199 Speaker 1: I completely missed that real in person interaction um with 550 00:25:35,240 --> 00:25:37,920 Speaker 1: the pre COVID times. But another downside too of all 551 00:25:37,960 --> 00:25:42,199 Speaker 1: this automation is that companies are rejecting millions of resumes 552 00:25:42,520 --> 00:25:45,879 Speaker 1: because of automation techniques that they've implemented. The Harvard Business 553 00:25:45,880 --> 00:25:48,800 Speaker 1: School they released this report earlier this week that potentially 554 00:25:48,880 --> 00:25:52,560 Speaker 1: ten million applicants aren't making it past the first digital 555 00:25:52,720 --> 00:25:56,080 Speaker 1: gatekeeper when applying for a job, and this is largely 556 00:25:56,119 --> 00:25:58,800 Speaker 1: because of automated filters that are being used to screen 557 00:25:59,160 --> 00:26:01,960 Speaker 1: these potential employees, and so I get you know, while 558 00:26:02,000 --> 00:26:04,199 Speaker 1: businesses they want to make sure that they're not just 559 00:26:04,440 --> 00:26:08,840 Speaker 1: needlessly interviewing non relevant candidates, uh, they're actually shooting themselves 560 00:26:08,880 --> 00:26:12,720 Speaker 1: in the foot by creating essentially like too high of offense. So, 561 00:26:12,760 --> 00:26:15,919 Speaker 1: for example, many of these software programs they eliminate anyone 562 00:26:16,080 --> 00:26:19,520 Speaker 1: with a gap in an employment or someone who's been 563 00:26:19,520 --> 00:26:22,840 Speaker 1: employed at the gap the clothing store. I think that's 564 00:26:23,040 --> 00:26:24,480 Speaker 1: if you if gap has written in there, it's just 565 00:26:24,520 --> 00:26:27,120 Speaker 1: like no if you're getting kicked out exactly. And obviously 566 00:26:27,160 --> 00:26:29,960 Speaker 1: this has problems during even just normal times. It's obviously 567 00:26:30,000 --> 00:26:33,480 Speaker 1: creating even a bigger issue now. So this new information 568 00:26:33,560 --> 00:26:36,440 Speaker 1: shots some light on the fact that networking being persistent, 569 00:26:36,720 --> 00:26:38,879 Speaker 1: these are still major factors when it comes to landing 570 00:26:38,880 --> 00:26:41,000 Speaker 1: a job. We want you to follow up. We we 571 00:26:41,040 --> 00:26:44,080 Speaker 1: don't want you to get shut down cold buy an algorithm. 572 00:26:44,240 --> 00:26:45,640 Speaker 1: And I think some of this might even come back 573 00:26:45,640 --> 00:26:47,359 Speaker 1: and you know, by the employer in the butt as well, 574 00:26:47,400 --> 00:26:49,080 Speaker 1: because I think it already is. I think they can 575 00:26:49,119 --> 00:26:53,600 Speaker 1: make changes because they aren't getting enough good applicants, like 576 00:26:53,640 --> 00:26:56,359 Speaker 1: they are short of workers, and they're realizing this systems 577 00:26:56,400 --> 00:26:58,920 Speaker 1: in the way it's created. This fence, and so they're 578 00:26:58,920 --> 00:27:01,640 Speaker 1: gonna bring the fence down I think a couple of feet. 579 00:27:01,840 --> 00:27:03,159 Speaker 1: But then at the same time, you and I we 580 00:27:03,200 --> 00:27:05,320 Speaker 1: have to take a ladder to the fence. And and 581 00:27:05,480 --> 00:27:08,679 Speaker 1: our way of doing that is networking, is persistency, is 582 00:27:09,040 --> 00:27:12,040 Speaker 1: reaching out to actual individuals who work at the company 583 00:27:12,080 --> 00:27:14,720 Speaker 1: where you're applying. Those are the strategies you have to 584 00:27:14,720 --> 00:27:17,600 Speaker 1: implement because artificial intelligence is kind of making things a 585 00:27:17,640 --> 00:27:19,600 Speaker 1: little more difficult right well, and it makes it less personal, 586 00:27:19,640 --> 00:27:22,239 Speaker 1: like even going back to mobile ordering at restaurants, like 587 00:27:22,320 --> 00:27:24,600 Speaker 1: there is something that you can gather about somebody when 588 00:27:24,600 --> 00:27:26,280 Speaker 1: you sit down and talk to them face to face. 589 00:27:26,400 --> 00:27:28,240 Speaker 1: And that's something that these employers are missing out when 590 00:27:28,240 --> 00:27:30,720 Speaker 1: it comes to searching for new candidates. And on the 591 00:27:30,760 --> 00:27:33,520 Speaker 1: note of employment, Matt, there's a gap right now between 592 00:27:33,520 --> 00:27:35,719 Speaker 1: the jobs that are being hired for and then what 593 00:27:35,840 --> 00:27:38,680 Speaker 1: job seekers actually want to do. It's just like really 594 00:27:38,720 --> 00:27:41,320 Speaker 1: big gap right now. Um, And so yeah, for the 595 00:27:41,400 --> 00:27:43,680 Speaker 1: first time in a while, there are actually more job 596 00:27:43,720 --> 00:27:46,600 Speaker 1: openings then there are people looking for work. And some 597 00:27:46,680 --> 00:27:49,520 Speaker 1: of it, like we said, is because of those crummy algorithms, 598 00:27:49,520 --> 00:27:53,240 Speaker 1: like they're preventing the proper employer and employee from getting 599 00:27:53,280 --> 00:27:56,320 Speaker 1: paired up. But another huge piece is that the jobs 600 00:27:56,320 --> 00:27:58,800 Speaker 1: that we want are changing right now. We've kind of 601 00:27:59,080 --> 00:28:01,840 Speaker 1: decided that maybe the work we were doing it's not fulfilling. 602 00:28:01,880 --> 00:28:04,160 Speaker 1: We want to change industries, we want to shift careers 603 00:28:04,640 --> 00:28:08,320 Speaker 1: in education plays a central role in helping us get 604 00:28:08,320 --> 00:28:09,960 Speaker 1: the skills that we need in order to do that. 605 00:28:10,200 --> 00:28:12,199 Speaker 1: We've talked about like the training that you can receive 606 00:28:12,280 --> 00:28:15,000 Speaker 1: from Goodwill will link to that in the show notes. Uh, 607 00:28:15,040 --> 00:28:16,920 Speaker 1: they have a good will where you buy a secondhand 608 00:28:16,960 --> 00:28:20,200 Speaker 1: clothes exactly. They actually have partnered with some jobs program 609 00:28:20,240 --> 00:28:24,320 Speaker 1: major businesses to help you find great jobs um not 610 00:28:24,359 --> 00:28:27,080 Speaker 1: crumby jobs, really good jobs and so yeah that check 611 00:28:27,080 --> 00:28:30,399 Speaker 1: out their targeted and certification programs. And then Google Certificates 612 00:28:30,480 --> 00:28:32,840 Speaker 1: is an avenue that you can take. It's really really 613 00:28:32,920 --> 00:28:35,120 Speaker 1: cheap and it's a quick path to a higher paying job. 614 00:28:35,359 --> 00:28:38,800 Speaker 1: You can get a Google certificate in six months that 615 00:28:38,840 --> 00:28:41,720 Speaker 1: will lead to a pretty good gig for most people 616 00:28:41,800 --> 00:28:44,200 Speaker 1: that jobs that are in high demand. Well will link 617 00:28:44,240 --> 00:28:46,840 Speaker 1: to both of those, but they're they're definitely great places 618 00:28:46,880 --> 00:28:49,320 Speaker 1: for people to turn if you're interested in kind of 619 00:28:49,320 --> 00:28:52,560 Speaker 1: shaking things up. Both of those are great places to 620 00:28:52,560 --> 00:28:54,840 Speaker 1: to check out. Yeah, and over time, hopefully we'll see 621 00:28:54,840 --> 00:28:57,000 Speaker 1: that gap close, because I mean, I think there's always 622 00:28:57,000 --> 00:29:00,000 Speaker 1: going to be a lag between supply and demand. Uh. 623 00:29:00,160 --> 00:29:02,800 Speaker 1: And with the way things have been going with employers 624 00:29:02,840 --> 00:29:06,280 Speaker 1: and employees and prices and goods and you know, and pay, 625 00:29:06,320 --> 00:29:08,280 Speaker 1: like it's almost like a staring contest to see who's 626 00:29:08,280 --> 00:29:10,840 Speaker 1: gonna blink first, because employees don't want to come back 627 00:29:10,880 --> 00:29:13,200 Speaker 1: for low pay. But at some point something's gotta give, 628 00:29:13,360 --> 00:29:15,000 Speaker 1: whether it's the price of goods that they're gonna have 629 00:29:15,040 --> 00:29:18,080 Speaker 1: to jack up, or whether it's people wanting to come 630 00:29:18,080 --> 00:29:20,120 Speaker 1: back because they're running out of money. But in the end, 631 00:29:20,160 --> 00:29:22,360 Speaker 1: I think we will find that equilibrium. But it's just 632 00:29:22,400 --> 00:29:24,440 Speaker 1: at the moment we're definitely it feels wonky, right, it 633 00:29:24,440 --> 00:29:26,520 Speaker 1: feels out in flux right now, yeah, exactly. But but 634 00:29:26,640 --> 00:29:29,360 Speaker 1: things will settle down and and hopefully some of our 635 00:29:29,360 --> 00:29:33,920 Speaker 1: listeners will take advantage of the weird space that we're in, 636 00:29:34,080 --> 00:29:37,120 Speaker 1: the fact that some employers are in desperate need of 637 00:29:37,240 --> 00:29:40,280 Speaker 1: good people. And if you do want to change careers, 638 00:29:40,480 --> 00:29:43,160 Speaker 1: if you do want to get paid more money, moved 639 00:29:43,160 --> 00:29:46,320 Speaker 1: to a different company, now is a perfect time. And 640 00:29:46,600 --> 00:29:48,320 Speaker 1: it's it's kind of like having a home that you 641 00:29:48,320 --> 00:29:50,200 Speaker 1: wanted to sell this past spring. It was just like 642 00:29:50,320 --> 00:29:53,400 Speaker 1: perfect timing, right, And so if you are looking to 643 00:29:53,600 --> 00:29:57,080 Speaker 1: do anything career wise, it's perfect timing. It's it's and 644 00:29:57,160 --> 00:30:00,200 Speaker 1: timing is not everything, but it's a lot out of 645 00:30:00,240 --> 00:30:02,560 Speaker 1: things in this life. And so yeah, we would suggest 646 00:30:02,600 --> 00:30:05,960 Speaker 1: that you strike while the iron's hot. But that's gonna 647 00:30:06,000 --> 00:30:08,440 Speaker 1: do it for this episode. We will have all those 648 00:30:08,520 --> 00:30:11,000 Speaker 1: links up in our show notes on our website at 649 00:30:11,000 --> 00:30:13,000 Speaker 1: how to money dot com. That's right. We hope everyone 650 00:30:13,040 --> 00:30:15,440 Speaker 1: has a great weekend. We've got another great episode plan 651 00:30:15,560 --> 00:30:17,520 Speaker 1: for you here. On Monday, we're gonna be speaking with 652 00:30:17,600 --> 00:30:20,480 Speaker 1: Marshall Allen and we're actually gonna talk all about different 653 00:30:20,520 --> 00:30:23,200 Speaker 1: ways that you can reduce the cost of your health care. 654 00:30:23,560 --> 00:30:26,480 Speaker 1: That's going to be an incredibly practical conversation with a 655 00:30:26,480 --> 00:30:28,520 Speaker 1: lot of takeaways that folks will be able to implement 656 00:30:28,560 --> 00:30:30,479 Speaker 1: into their lives with a brilliant guy who has been 657 00:30:30,520 --> 00:30:33,200 Speaker 1: working in this space for a decade and a half. 658 00:30:33,680 --> 00:30:36,920 Speaker 1: And yeah, he just has so much good information it's 659 00:30:37,240 --> 00:30:39,400 Speaker 1: and he delivered it so well. So looking forward to 660 00:30:39,440 --> 00:30:41,280 Speaker 1: sharing that episode with you guys. That's right, So Joe, 661 00:30:41,280 --> 00:30:43,520 Speaker 1: it's gonna be a buddy until next time. Best friends out, 662 00:30:43,560 --> 00:30:44,680 Speaker 1: best friends out